데이터 분석 튜토리얼

Learn simple linear regression. Master the model equation, understand key assumptions and diagnostics, and learn how to interpret the results effectively.

Learn how to calculate sample standard deviation and understand its significance in statistical analysis. Explore examples and best practices for real-world data interpretation.

Create a Tableau donut chart by following simple steps for importing data, resizing, and customizing colors. Learn formatting tips and advanced options. See their advantage over pie charts.

Learn how to calculate the total sum of squares (SST), regression sum of squares (SSR), and error sum of squares (SSE) to evaluate regression model accuracy. Discover their mathematical relationships and how they impact R-squared.

Discover how to interpret adjusted r-squared to evaluate regression model performance. Compare the difference between r-squared and adjusted r-squared with examples in R and Python.

Discover how to use the ANOVA test to compare multiple groups means with clear examples, real-world applications, and practical tips for data analysis.

Uncover the significance of the Gaussian distribution, its relationship to the central limit theorem, and its real-world applications in machine learning and hypothesis testing.

The Poisson distribution models the probability of a certain number of events occurring within a fixed interval. See how it's applied in real-world scenarios like queueing theory and traffic modeling.

Learn how the AUC-ROC curve assesses binary classification models, focusing on performance across thresholds, particularly in imbalanced datasets. Use Python’s libraries to compute AUC values and compare classifiers in one workflow.

A winsorized mean reduces the influence of outliers by capping extreme values at specific percentiles, preserving the overall structure of the dataset. Read further to learn how to calculate the winsorized mean using Python for hands-on practice.

Learn how to effectively use VBA in Excel to automate tasks, create macros, and enhance your data processing skills with practical examples and best practices.

Explore how using a SQL alias simplifies both column and table names. Learn why using a SQL alias is key for improving readability and managing complex joins.